Close-kin mark-recapture: Theory and practice
Paul B. Conn
Euring Technical Meeting, Friday 21 April, 2023
Who am I?
Paul Conn– Research statistician with the Marine Mammal Laboratory at NOAA Alaska Fisheries Science Center.
Other acknowledgments: Eric Anderson, Jay Ver Hoef (NOAA); Mark Bravington (CSIRO); Brian Taras, Lori Quakenbush (ADF&G); NOAA Office of Science & Technology
| Time | Description |
|---|---|
| 1:00–1:45 | Close-kin mark-recapture: An overview |
| 1:45–2:30 | Genetic data and kinfinding lite |
| 2:30–2:45 | Break |
| 2:45–3:45 | Statistical inference for CKMR estimation |
| 3:45–4:45 | Designing CKMR experiments (including code demo) |
| 4:45–5:00 | Thought experiments |
The basic idea of how CKMR works
Types of CKMR models and their assumptions
Strengths and limitations of CKMR for monitoring and management
Basic ideas on how to design a CKMR study
Some preliminary ideas of how to code things up
I don’t expect anyone to be a CKMR expert after taking this workshop. There are a lot of levels of expertise required for successful CKMR implentations (including ecology, genetics, and statistics) - there are only a few people on earth that are an expert in all of these!!!
Slides: Intro https://pconn.github.io/euring-ckmr-2023/slides/slides1.html Genetics/kin-finding https://pconn.github.io/euring-ckmr-2023/slides/slides1.html Statistical theory https://pconn.github.io/euring-ckmr-2023/slides/slides3.html Design https://pconn.github.io/euring-ckmr-2023/slides/slides4.html Thought experiments https://pconn.github.io/euring-ckmr-2023/slides/slides5.html
General workshop github repository: https://github.com/eriqande/tws-ckmr-2022
A CKMR website w/ more examples: https://closekin.github.io/
Sample occasion 1: mark \(n\) animals (blue) out of a population of \(N\) animals
Sample occasion 2: capture \(M\) animals, \(m\) of which were previously marked